ACL RD-TEC 1.0 Summarization of C00-1042

Paper Title:
STATISTICAL MORPHOLOGICAL DISAMBIGUATION FOR AGGLUTINATIVE LANGUAGES

Authors: Diiek Z. Hakkani-Tur and Kemal Oflazer and Gokhan Tur

Other assigned terms:

  • adjective
  • adverbial modifier
  • ambiguity
  • approach
  • baseline model
  • basque
  • bigram
  • bigram language model
  • break
  • case
  • constituent order
  • conventional sense
  • corpora
  • data sparseness
  • data sparseness problem
  • derivation
  • derivations
  • determiner
  • discourse
  • discourse context
  • entropy
  • evaluation metric
  • fact
  • generation
  • infinitive form
  • inflection
  • intention
  • language model
  • language modeling toolkit
  • language models
  • large corpora
  • large corpus
  • modeling toolkit
  • modifier
  • morphological features
  • morphological generation ambiguity
  • natural language
  • number-person agreement
  • parse
  • part-of-speech
  • perplexity
  • phrase
  • polarity
  • pos tag
  • positive polarity
  • precision
  • preprocessor
  • probabilities
  • probability
  • process
  • pronoun
  • proper noun
  • relation
  • semantic
  • semantic features
  • sentences
  • set size
  • sparseness problem
  • statistical models
  • statistics
  • stem
  • syntactic context
  • syntactic information
  • syntactic relations
  • syntax
  • tag model
  • tag set
  • tagged corpora
  • tagging problem
  • tags
  • tagset
  • term
  • test data
  • test set
  • text
  • tokens
  • toolkit
  • training
  • training data
  • training data.
  • trigram
  • trigram model
  • verb
  • vocabulary
  • vocabulary size
  • word
  • word form
  • word level
  • word sense
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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